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Spatiotemporal change characteristics of NDVI and response to climate factors in the Jixi Wetland, Eastern China

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Abstract Exploring the spatiotemporal variation characteristics of vegetation in the confluent area of water systems in western Jinan and its response mechanism to climatic factors is of great significance for the scientific evaluation of the benefits of the water system connectivity project and eco-environmental protection and can provide a reference for ecotourism development in the Jixi wetland park. Based on the Landsat series of images and meteorological data, this study used ENVI to interpret the normalized difference vegetation index (NDVI) of the confluent area from 2010 to 2021 and the spatiotemporal change characteristics and trends of NDVI were quantitatively analysed. The response of the growing-season NDVI (GSN) to climate factors and its time-lag effect were explored. The results showed that the overall change in the interannual NDVI in the confluent area from 2010 to 2021 was stable. The GSN in the confluent area was significantly positively correlated with precipitation, average temperature, and relative humidity in 37.64%, 25.52%, and 20.87% of the area respectively, and significantly negatively correlated with sunshine hours in 15.32% of the area. There was a time-lag effect on the response of the GSN to climate factors; the response to precipitation and sunshine hours lagged by one month, and the response to average temperature and relative humidity was longer.
Title: Spatiotemporal change characteristics of NDVI and response to climate factors in the Jixi Wetland, Eastern China
Description:
Abstract Exploring the spatiotemporal variation characteristics of vegetation in the confluent area of water systems in western Jinan and its response mechanism to climatic factors is of great significance for the scientific evaluation of the benefits of the water system connectivity project and eco-environmental protection and can provide a reference for ecotourism development in the Jixi wetland park.
Based on the Landsat series of images and meteorological data, this study used ENVI to interpret the normalized difference vegetation index (NDVI) of the confluent area from 2010 to 2021 and the spatiotemporal change characteristics and trends of NDVI were quantitatively analysed.
The response of the growing-season NDVI (GSN) to climate factors and its time-lag effect were explored.
The results showed that the overall change in the interannual NDVI in the confluent area from 2010 to 2021 was stable.
The GSN in the confluent area was significantly positively correlated with precipitation, average temperature, and relative humidity in 37.
64%, 25.
52%, and 20.
87% of the area respectively, and significantly negatively correlated with sunshine hours in 15.
32% of the area.
There was a time-lag effect on the response of the GSN to climate factors; the response to precipitation and sunshine hours lagged by one month, and the response to average temperature and relative humidity was longer.

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